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  5. Medicare calibration of the clinically detailed risk information system for cost
 
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Medicare calibration of the clinically detailed risk information system for cost

Author(s)
Kapur, Kanika  
Tseng, Chien-Wen  
Rastegar, Afshin  
Carter, Grace  
Keeler, Emmett  
Uri
http://hdl.handle.net/10197/274
Date Issued
2003
Date Available
2008-06-30T13:35:11Z
Abstract
The clinically detailed risk information system for cost (CD-RISC) contains definitions for several hundred severity-adjusted conditions that can be used to predict future health care costs. We develop a prospective Medicare CD-RISC model using a 5-percent sample of Medicare beneficiaries and data that contain 1996 diagnostic information and 1997 annualized costs. The CD-RISC model has a hierarchical structure that implies that only the most expensive condition-severity variable within a body system affects payments. This minimizes incentives to game the system by entering multiple related codes for the same condition. The R² for the CD-RISC model is 11 percent.
Type of Material
Journal Article
Publisher
Centers for Medicare & Medicaid Services (CMS) / U.S. Government Printing Office
Journal
Health Care Financing Review
Volume
25
Issue
1
Start Page
37
End Page
54
Subjects

Insurance, health

Medical care, cost of...

Medicare

Health Risk Assessmen...

Subject – LCSH
Medical care, Cost of
Medicare
Health risk assessment
Web versions
http://www.cms.hhs.gov/HealthCareFinancingReview/12_2003_Edition.asp#TopOfPage
http://vnweb.hwwilsonweb.com/hww/jumpstart.jhtml?recid=0bc05f7a67b1790eda6c2fe2dc20c484d0c91642176cb8270726e25ac4051de8086ad0a413e8c07e&fmt=P
Language
English
Status of Item
Peer reviewed
ISSN
0195-8631
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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kapurk_article_pub_015.pdf

Size

1.99 MB

Format

Adobe PDF

Checksum (MD5)

9281bb578a22fabd637d2ab5f46e556e

Owning collection
Economics Research Collection
Mapped collections
Geary Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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